SBIR PHASE 1: SCALABLE DIGITAL DELIVERY OF EVIDENCE-BASED TRAINING FOR FAMILY TO MAXIMIZE TREATMENT ADMISSION RATES OF OPIOID USE DISORDER IN LOVED ON
Award amount
$55,003Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- WE THE VILLAGE, INC.
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- DAY1MPRGJ8F5
- Solicitation number
- Not reported
- Topic code
- 166
Research abstract
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Fast-track: Scalable digital delivery of evidence-based training for addiction professionals to maximize treatment admission and retention rates of opioid use disorder in affected families.
- Fast-track: Scalable digital delivery of evidence-based training for addiction professionals to maximize treatment admission and retention rates of opioid use disorder in affected families.
- TOPIC 166 SBIR PHASE II: SCALABLE DIGITAL DELIVERY OF EVIDENCE-BASED TRAINING FOR FAMILY TO MAXIMIZE TREATMENT ADMISSION RATES OF OPIOID USE DISORDER
- SBIR PHASE 1: SCALABLE DIGITAL DELIVERY OF EVIDENCE-BASED TRAINING FOR FAMILY TO MAXIMIZE TREATMENT ADMISSION RATES OF OPIOID USE DISORDER IN LOVED ONES.
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- THE PRIMARY OBJECTIVE OF THE PROPOSED PHASE I WORK IS TO FURTHER DEVELOP A PROOF-OF-CONCEPT(POC) MACHINE LEARNING APPROACH TO DETECT ILLEGAL OPIOID SE
- THE PRIMARY OBJECTIVE OF THE PROPOSED PHASE II WORK IS TO EXPAND THE PRODUCT OFFERING AND SUCCESSFULLY COMMERCIALIZE THE MVP THAT WAS SUCCESSFULLY DEV
Research funding history
5 SBIR/STTR records share this UEI (2019–2024). Reported award amounts total $3,761,253. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Health and Human Services